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Ring synthetic chromosome V SCRaMbLE.

Juan Wang1,2, Ze-Xiong Xie1,2, Yuan Ma1,2

  • 1Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, 300072, Tianjin, People's Republic of China.

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|September 19, 2018
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Summary
This summary is machine-generated.

A synthetic yeast chromosome V (ring_synV) was engineered to generate genomic variations, enhancing prodeoxyviolacein (PDV) production. This method identified novel structural variations and genes impacting PDV biosynthesis.

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Area of Science:

  • Synthetic biology
  • Genomics
  • Metabolic engineering

Background:

  • Structural variations (SVs) are key drivers of phenotypic diversity.
  • Engineering genomes can optimize the production of valuable compounds.

Purpose of the Study:

  • To investigate the use of a synthetic yeast chromosome V (ring_synV) for generating genomic variations.
  • To enhance prodeoxyviolacein (PDV) production through genome engineering.

Main Methods:

  • Applying Synthetic Chromosome Recombination and Modification by LoxP-mediated Evolution (SCRaMbLE) to ring_synV in haploid yeast.
  • Analyzing genomic variations including aneuploidy, duplications, insertions, translocations, and inversions.
  • Identifying genes associated with improved PDV biosynthesis.

Main Results:

  • SCRaMbLE of ring_synV successfully generated complex genomic variations and aneuploid yeast strains.
  • Increased PDV productivity was observed in engineered strains, with aneuploidy in chromosomes I, III, VI, XII, XIII, and ring_synV.
  • 29 novel SVs were detected, 11 of which enhanced PDV biosynthesis, including the deletion of YER182W.

Conclusions:

  • SCRaMbLEing ring_synV is an effective strategy for continuous genome evolution and phenotypic improvement.
  • This approach facilitates the identification of novel SVs and genes that regulate metabolic pathways like PDV production.
  • The study highlights the potential of synthetic chromosomes in understanding genome function and optimizing bioproduction.